id stringlengths 16 145 | text stringlengths 1 179k | title stringclasses 1
value |
|---|---|---|
google_protobuf/604925_43_0.txt | * [ Google Cloud ](/gc/Google-Cloud/ct-p/google-cloud)
* * [ Cloud Forums ](/gc/Cloud-Forums/ct-p/cloud-forums)
* * [ AI/ML ](/gc/AI-ML/bd-p/cloud-ai-ml)
* * Re: Vertex AI: Getting a GRPC Exception when sendi... | |
google_protobuf/comgooglecloudvertex_402_0.txt | The parameters that govern the prediction. The schema of the parameters may be
specified via Endpoint's DeployedModels' Model's PredictSchemata's
parameters_schema_uri . | |
google_protobuf/PredictionServiceCli_178_0.txt | public final com.google.api.gax.rpc.UnaryCallable<[ExplainRequest](https://github.com/googleapis/java-/proto-google-cloud-aiplatform-v1/apidocs/com/google/cloud/aiplatform/v1/ExplainRequest.html?is-external=true "class or interface in com.google.cloud.aiplatform.v1"),[ExplainResponse](https://github.com/googleapis/java... | |
google_protobuf/tabular_233_0.txt |
def build_graph(x_key, y_key, results_dict, axis):
matplotlib.rcParams["figure.figsize"] = [10.0, 7.0] | |
google_protobuf/tabular_44_0.txt | TIMESTAMP = datetime.now().strftime("%Y%m%d%H%M%S") | |
google_protobuf/tabular_119_0.txt | Generate prediction requests
Now we can generate requests to send to our model for inference. Requests are generated in the JSON Lines format, one request per line. | |
google_protobuf/PredictionServiceCli_88_0.txt | public final [PredictResponse](https://github.com/googleapis/java-/proto-google-cloud-aiplatform-v1/apidocs/com/google/cloud/aiplatform/v1/PredictResponse.html?is-external=true "class or interface in com.google.cloud.aiplatform.v1") predict([EndpointName](https://github.com/googleapis/java-/proto-google-cloud-aiplatfor... | |
google_protobuf/PredictionServiceCli_201_0.txt | ` awaitTermination ` in interface ` com.google.api.gax.core.BackgroundResource `
Throws: | |
google_protobuf/comgooglecloudvertex_85_0.txt | StreamRawPredict | |
google_protobuf/PredictionServiceCli_175_0.txt |
Parameters: | |
google_protobuf/tabular_101_0.txt | logging.info("compiling sequential keras model")
# Compile Keras model
model.compile(
optimizer=tf.optimizers.Adam(learning_rate=0.01),
loss=tf.keras.losses.BinaryCrossentropy(),
metrics=["accuracy"],
)
return model | |
google_protobuf/604925_75_0.txt | The strange part is that everything is working if: | |
google_protobuf/comgooglecloudvertex_195_0.txt | [ Object.hashCode()
](https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#hashCode--) | |
google_protobuf/PredictionServiceCli_90_0.txt | Sample code: | |
google_protobuf/PredictionServiceCli_78_0.txt | Constructs an instance of PredictionServiceClient, using the given settings.
The channels are created based on the settings passed in, or defaults for any
settings that are not set. | |
google_protobuf/comgooglecloudvertex_473_0.txt | Perform an online prediction with an arbitrary HTTP payload. | |
google_protobuf/604925_101_0.txt | https://www.googlecloudcommunity.com/html/@BA4B8F5B12739C28A35AEDB252AA7576/assets/google-
copy-url-icon.png) Copy URL | |
google_protobuf/comgooglecloudvertex_211_0.txt | **Returns**
---
**Type** | **Description**
` [ PredictionServiceClient ](/java/docs/reference/google-cloud-
vertexai/latest/com.google.cloud.vertexai.api.PredictionServiceClient) ` |
**Exceptions**
---
**Type** | **Description**
` [ IOException
](https://docs.oracle.com/javase/8/docs/api/java/io/IOException.html) ` | | |
google_protobuf/PredictionServiceCli_204_0.txt | * [ Overview ](../../../../../overview-summary.html)
* [ Package ](package-summary.html)
* Class
* [ Use ](class-use/PredictionServiceClient.html)
* [ Tree ](package-tree.html)
* [ Deprecated ](../../../../../deprecated-list.html)
* [ Index ](../../../../../index-all.html)
* [ Help ](../../../../../help-doc.html) | |
google_protobuf/comgooglecloudvertex_57_0.txt | * [ 1.2.0 (latest) ](/java/docs/reference/google-cloud-vertexai/latest/com.google.cloud.vertexai.api.PredictionServiceClient)
* [ 1.1.0 ](/java/docs/reference/google-cloud-vertexai/1.1.0/com.google.cloud.vertexai.api.PredictionServiceClient)
* [ 1.0.0 ](/java/docs/reference/google-cloud-vertexai/1.0.0/com.google.cloud.... | |
google_protobuf/tabular_177_0.txt | Two optimization options are applied to the model. | |
google_protobuf/google_protobuf_4_0.txt | # google.protobuf.timestamp_pb2 ¶
Generated protocol buffer code.
_class_ ` google.protobuf.timestamp_pb2. ` ` Timestamp ` ( _**kwargs_ ) ¶
` ByteSize ` ( ) ¶
` Clear ` ( ) ¶
` ClearExtension ` ( _extension_handle_ ) ¶
Clears the contents of a given extension.
Parameters :
... | |
google_protobuf/comgooglecloudvertex_398_0.txt | Required. The name of the Endpoint requested to serve the prediction. Format:
` projects/{project}/locations/{location}/endpoints/{endpoint} ` | |
google_protobuf/comgooglecloudvertex_489_0.txt | Can return ` NOT_FOUND ` , ` INVALID_ARGUMENT ` , and ` PERMISSION_DENIED `
errors. | |
google_protobuf/comgooglecloudvertex_395_0.txt | Sample code: | |
google_protobuf/PredictionServiceCli_122_0.txt | A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an upper
limit on the number of instances it supports per request. When this limit it
is exceeded for an AutoML model, the
[RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict] method
returns an error. When this limit is exceeded for a... | |
google_protobuf/comgooglecloudvertex_407_0.txt | Sample code: | |
google_protobuf/604925_20_0.txt | * [ Serverless ](/gc/Serverless/bd-p/cloud_serverless) | |
google_protobuf/comgooglecloudvertex_466_0.txt | ` httpBody ` | ` com.google.api.HttpBody ` | |
google_protobuf/comgooglecloudvertex_32_1.txt | ntName.Builder ](/java/docs/reference/google-cloud-vertexai/latest/com.google.cloud.vertexai.api.EndpointName.Builder)
* [ EndpointName.ProjectLocationPublisherModelBuilder ](/java/docs/reference/google-cloud-vertexai/latest/com.google.cloud.vertexai.api.EndpointName.ProjectLocationPublisherModelBuilder)
* [ Endpoint... | |
google_protobuf/comgooglecloudvertex_524_0.txt | ### streamRawPredictCallable() | |
google_protobuf/tabular_143_0.txt |
from google.cloud.aiplatform import gapic as aip | |
google_protobuf/comgooglecloudvertex_312_0.txt |
**Parameter**
---
**Name** | **Description**
` request ` | ` [ GenerateContentRequest ](/java/docs/reference/google-cloud-
vertexai/latest/com.google.cloud.vertexai.api.GenerateContentRequest) ` | |
google_protobuf/comgooglecloudvertex_152_0.txt | Request object method variants only take one parameter, a request object,
which must be constructed before the call. | |
google_protobuf/comgooglecloudvertex_494_0.txt | **Returns**
---
**Type** | **Description**
` com.google.iam.v1.Policy ` | | |
google_protobuf/tabular_112_0.txt | The following code is provided only for illustration purposes. You use the Keras model for deployment. | |
google_protobuf/PredictionServiceCli_86_0.txt | @BetaApi(value="A restructuring of stub classes is planned, so this may break in the future")
public [PredictionServiceStub](../../../../../com/google/cloud/aiplatform/v1/stub/PredictionServiceStub.html "class in com.google.cloud.aiplatform.v1.stub") getStub() | |
google_protobuf/tabular_240_0.txt | We compare the results of predictions for 51,200 requests for a model running on the optimized TensorFlow runtime with lossy optimizations and on TF2.7 | |
google_protobuf/604925_38_0.txt | Auto-suggest helps you quickly narrow down your search results by suggesting
possible matches as you type. | |
google_protobuf/PredictionServiceCli_171_0.txt | Perform an online explanation. | |
google_protobuf/tabular_24_0.txt |
# Automatically restart kernel after installs
import os | |
google_protobuf/comgooglecloudvertex_192_0.txt | [ Object.equals(Object)
](https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#equals-
java.lang.Object-) | |
google_protobuf/comgooglecloudvertex_151_0.txt | Gets information about a location. | |
google_protobuf/comgooglecloudvertex_144_0.txt | Lists information about the supported locations for this service. | |
google_protobuf/google_protobuf_12_1.txt | ert ` ( _key: int_ , _value: _T_ ) → None ¶
Inserts the item at the specified position by copying.
` pop ` ( ) ¶
Removes and returns an item at a given index. Similar to list.pop().
` remove ` ( _elem: _T_ ) → None ¶
Removes an item from the list. Similar to list.remove().
` reverse ` ( ... | |
google_protobuf/tabular_243_0.txt | with tf.io.gfile.GFile(requests_file_path, "r") as f:
for line in f:
row_dict = json.loads(line)
request = build_rest_request(row_dict)
response = r.post(pridict_uri, data=request)
for output in json.loads(response.text)["outputs"]:
responses.append(output[0]) | |
google_protobuf/PredictionServiceCli_94_0.txt | ` com.google.api.gax.rpc.ApiException ` \- if the remote call fails
* #### predict | |
google_protobuf/604925_167_0.txt | I have posted a workaround that also solves the bug in the Java SDK. | |
google_protobuf/PredictionServiceCli_128_0.txt | The response includes the following HTTP headers: | |
google_protobuf/comgooglecloudvertex_257_0.txt | Perform an unary online prediction request to a gRPC model server for custom
containers. | |
google_protobuf/comgooglecloudvertex_181_0.txt |
To customize the endpoint: | |
google_protobuf/comgooglecloudvertex_163_0.txt | GetIamPolicy | |
google_protobuf/604925_164_0.txt | Post Options | |
google_protobuf/comgooglecloudvertex_121_0.txt | Explain | |
google_protobuf/tabular_23_0.txt | Restart the kernel
After you install the additional packages, you must restart the notebook kernel so it can find the packages. | |
google_protobuf/comgooglecloudvertex_66_0.txt | Request object method variants only take one parameter, a request object,
which must be constructed before the call. | |
google_protobuf/tabular_207_0.txt | On the production deployment, the workload is not uniform, and therefore the maximum model throughput is likely to be lower. We are not trying to simulate production workload here. This benchmark is meant to compare latency and throughput for same model running on different environments. | |
google_protobuf/comgooglecloudvertex_431_0.txt | public final HttpBody rawPredict(EndpointName endpoint, HttpBody httpBody) | |
google_protobuf/google_protobuf_23_18.txt | ( _errors=None_ ) ¶
Checks if all required fields of a message are set.
Parameters :
**errors** – A list which, if provided, will be populated with the field paths
of all missing required fields.
Returns :
True iff the specified message has all required fields set.
` ListFields ` ( ) ¶
... | |
google_protobuf/comgooglecloudvertex_321_0.txt | Required. The name of the publisher model requested to serve the prediction.
Format: ` projects/{project}/locations/{location}/publishers/*/models/* ` | |
google_protobuf/PredictionServiceCli_112_0.txt |
try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
PredictRequest request =
PredictRequest.newBuilder()
.setEndpoint(EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]").toString())
.addAllInstances(new ArrayList<Value>())
.setParameters(Value.newBuilder().build())
.build();... | |
google_protobuf/comgooglecloudvertex_155_0.txt | * getLocationCallable() | |
google_protobuf/comgooglecloudvertex_97_0.txt | Request object method variants only take one parameter, a request object,
which must be constructed before the call. | |
google_protobuf/604925_57_0.txt | https://www.googlecloudcommunity.com/html/@B5A22F3583793003F868672DC13DF92B/assets/logotwitter.png) Twitter | |
google_protobuf/comgooglecloudvertex_544_0.txt | Returns permissions that a caller has on the specified resource. If
theresource does not exist, this will return an empty set ofpermissions, not a
` NOT_FOUND ` error. | |
google_protobuf/604925_144_0.txt | [
](https://www.googlecloudcommunity.com/gc/forums/v5/forumtopicpage.kudosbuttonv2.kudoentity:kudoentity/kudosable-
gid/604520?t:ac=board-id/cloud-ai-ml/message-
id/2198&t:cp=kudos/contributions/tapletcontributionspage "Click here to give
likes to this post.") | |
google_protobuf/comgooglecloudvertex_120_0.txt | * streamingRawPredictCallable() | |
google_protobuf/comgooglecloudvertex_262_0.txt | public final ExplainResponse explain(EndpointName endpoint, List<Value> instances, Value parameters, String deployedModelId) | |
google_protobuf/tabular_139_0.txt | Deploy model to Vertex AI Prediction
To deploy a model to Vertex AI Prediction service, you must put it in a GCS bucket. | |
google_protobuf/604925_124_0.txt | ](https://www.linkedin.com/shareArticle?mini=true&url=https://www.googlecloudcommunity.com/gc/AI-
ML/Vertex-AI-Getting-a-GRPC-Exception-when-sending-a-
prediction/m-p/604925&title=Vertex AI: Getting a GRPC Exception when sending a
prediction request in Java) [ | |
google_protobuf/comgooglecloudvertex_423_0.txt | **Returns**
---
**Type** | **Description**
` [ PredictResponse ](/java/docs/reference/google-cloud-
vertexai/latest/com.google.cloud.vertexai.api.PredictResponse) ` | | |
google_protobuf/604925_195_0.txt | [ View all ](/gc/solutions/acceptedsolutionsleaderboardpage/node-display-
id/board%3Acloud-ai-ml/timerange/one_month) | |
google_protobuf/tabular_209_0.txt |
tf_opt_gpu_endpoint_dict = endpoint_service_client.get_endpoint(
name=tf_opt_gpu_endpoint
)
tf_opt_gpu_endpoint_dict | |
google_protobuf/comgooglecloudvertex_490_0.txt | Sample code: | |
google_protobuf/comgooglecloudvertex_100_0.txt | * directRawPredictCallable() | |
google_protobuf/PredictionServiceCli_132_0.txt |
Parameters: | |
google_protobuf/tabular_179_0.txt |
tf_opt_gpu_model_dict = {
"display_name": "Criteo Kaggle optimized TensorFlow runtime GPU model",
"artifact_uri": BUCKET_URI,
"container_spec": {
"image_uri": "us-docker.pkg.dev/vertex-ai-restricted/prediction/tf_opt-gpu.nightly:latest",
"args": [
"--model_name=default",
"--allow_precompilation=true",
"--allow_precisi... | |
google_protobuf/604925_68_0.txt | * Mark as New
* Bookmark
* Subscribe
* Mute
* * [ Subscribe to RSS Feed ](https://www.googlecloudcommunity.com/rss/message?board.id=cloud-ai-ml&message.id=2093)
* * [ Permalink ](/gc/AI-ML/Vertex-AI-Getting-a-GRPC-Exception-when-sending-a-prediction/m-p/600835/highlight/true#M2093)
* [ Print ](/gc/forums/forumtopic... | |
google_protobuf/tabular_107_0.txt |
model.summary() | |
google_protobuf/604925_7_0.txt | * [ Cloud Forums ](/gc/Cloud-Forums/ct-p/cloud-forums) | |
google_protobuf/604925_162_0.txt | * Mark as New
* Bookmark
* Subscribe
* Mute
* * [ Subscribe to RSS Feed ](https://www.googlecloudcommunity.com/rss/message?board.id=cloud-ai-ml&message.id=2198)
* * [ Permalink ](/gc/AI-ML/Vertex-AI-Getting-a-GRPC-Exception-when-sending-a-prediction/m-p/604925/highlight/true#M2198)
* [ Print ](/gc/forums/forumtopic... | |
google_protobuf/comgooglecloudvertex_182_0.txt | // This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://clo... | |
google_protobuf/604925_126_0.txt | https://www.googlecloudcommunity.com/html/@B5A22F3583793003F868672DC13DF92B/assets/logotwitter.png) Twitter | |
google_protobuf/604925_1_0.txt | [ Accept
](https://www.googlecloudcommunity.com/gc/forums/v5/forumtopicpage.cookiebanneralertv2.link:acceptcookieevent?t:ac=board-
id/cloud-ai-ml/message-
id/2198&t:cp=gdprcookiebanner/contributions/cookiebannercontributionpage) | |
google_protobuf/604925_77_0.txt | The request in CLI works so it seems that the model+endpoint is working. | |
google_protobuf/comgooglecloudvertex_43_0.txt | * [ Package summary ](/java/docs/reference/google-cloud-vertexai/latest/com.google.cloud.vertexai.api.stub)
* Classes | |
google_protobuf/comgooglecloudvertex_438_0.txt |
**Parameters**
---
**Name** | **Description**
` endpoint ` | ` [ EndpointName ](/java/docs/reference/google-cloud-
vertexai/latest/com.google.cloud.vertexai.api.EndpointName) ` | |
google_protobuf/comgooglecloudvertex_411_0.txt | **Returns**
---
**Type** | **Description**
` [ PredictResponse ](/java/docs/reference/google-cloud-
vertexai/latest/com.google.cloud.vertexai.api.PredictResponse) ` | | |
google_protobuf/tabular_67_0.txt | Only if your bucket doesn't already exist: Run the following cell to create your Cloud Storage bucket. | |
google_protobuf/comgooglecloudvertex_554_0.txt | Note: This operation is designed to be used for buildingpermission-aware UIs
and command-line tools, not for authorizationchecking. This operation may
"fail open" without warning. | |
google_protobuf/604925_25_0.txt | * [ Cloud Certified Group ](/gc/Cloud-Certified-Group/gh-p/cloud-certified-group) | |
google_protobuf/PredictionServiceCli_202_0.txt | ` [ InterruptedException ](https://docs.oracle.com/javase/8/docs/api/java/lang/InterruptedException.html?is-external=true "class or interface in java.lang") ` | |
google_protobuf/tabular_64_0.txt |
BUCKET_URI = "gs://[your-bucket-name]" # @param {type:"string"}
REGION = "[your-region]" # @param {type:"string"} | |
google_protobuf/comgooglecloudvertex_404_0.txt | ### predict(PredictRequest request) | |
google_protobuf/tabular_98_0.txt | return linear_feature_columns + categorical_feature_columns | |
google_protobuf/604925_190_0.txt | | 1 | |
google_protobuf/comgooglecloudvertex_320_0.txt |
**Parameters**
---
**Name** | **Description**
` model ` | ` [ String
](https://docs.oracle.com/javase/8/docs/api/java/lang/String.html) ` | |
google_protobuf/comgooglecloudvertex_557_0.txt |
**Returns**
---
**Type** | **Description**
` [ UnaryCallable
](https://cloud.google.com/java/docs/reference/gax/latest/com.google.api.gax.rpc.UnaryCallable.html)
< com.google.iam.v1.TestIamPermissionsRequest ,
com.google.iam.v1.TestIamPermissionsResponse > ` | | |
google_protobuf/PredictionServiceCli_188_0.txt | Specified by: | |
google_protobuf/tabular_37_0.txt |
import os |
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